Data Classes for High-Performing MDs

This is a special lecture that can lay the theoretical foundation to simultaneously prepare for the Microsoft AZ-900 certification, and as the latest content reflecting the scope of questions as of May 2025, by providing content related to core data concepts, Azure's relational data, Azure's non-relational data, and Azure's analytical workloads in a form combining theory and practice, it can be utilized as a meaningful educational opportunity to not only obtain the certification but also take the first step towards becoming a data professional.

Understand the essence of the job market through economic and statistical concepts, and redesign employment and career-change strategies as data-driven probability problems rather than relying on intuition or "spec" (credentials) competition. Instead of simply accumulating more credentials, this strategy shifts the "playing field" to a rational recruitment market by using AI to directly collect and analyze job postings and corporate data to select markets and openings with a high probability of success. By utilizing AI as a tool built upon core economic and statistical concepts, we systematize document, interview, and application strategies, presenting a way for even non-majors to develop a data-driven employment mindset. Furthermore, we provide a method for non-majors to directly implement a 24-hour AI recruitment assistant—which can be used immediately as a portfolio piece—through AI-based "Vibe Coding."

This course will help you strengthen the core of your business marketing by teaching you how to leverage data to find marketing insights.

Are you wondering which tool to use for data analysis? Get started easily with Excel!

We approach cost accounting and management analysis, which you may have found difficult, in a very practical and easy way using Excel. This course covers the following topics: - Cost Calculation from Basics to Practice: Step-by-step learning from cost concepts, standard costs, actual costs, to indirect cost allocation - Understanding Financial Statements and Accounting Flow: From manufacturing cost flow to accounting processing and financial statement creation process - Strategic Pricing Methods: Pricing strategies by market type and profitability analysis by product - Analyzing Management Indicators with Excel: Break-even point analysis and financial ratio analysis practice - Management Decision-Making Based on Management Accounting: Short-term/medium-to-long-term business planning and business feasibility analysis practice

We'll take a very practical and easy approach to cost accounting and management analysis using Excel, which you may have found difficult before. This course covers the following topics: - Cost Accounting from Basics to Practice: Step-by-step learning from cost concepts, standard costs, actual costs, to indirect cost allocation - Understanding Financial Statements and Accounting Flow: From manufacturing cost flow to accounting treatment and financial statement generation process - Strategic Pricing Methods: Pricing strategies by market type and profitability analysis by product - Analyzing Management Indicators with Excel: Break-even point analysis and financial ratio analysis practice - Management Decision-Making Based on Management Accounting: Short-term/long-term business planning and business feasibility analysis practice

Data Visualization Storytelling That's Perfectly Achievable with Excel Alone

If you work with data, SQL is a fundamental skill you must know. In this course, we will learn SQL from a data analysis perspective, focusing on hands-on practice. The practice will be conducted in Google Colab using DuckDB.

A 2-hour data literacy introductory course for marketers who give up on math and whose minds go blank when they see numbers

In the era of AI and Big Data, are you utilizing your organization's data effectively? This course builds essential capabilities for reading and interpreting data, covering everything from the foundations of statistical thinking to the core principles of machine learning and deep learning. Grow into a practical leader capable of discovering patterns amidst volatility and making data-driven decisions.

Learn Excel Power Pivot to analyze large amounts of data in a high-performance environment. Excel Power Pivot is a powerful advanced data analysis tool in Excel that allows you to connect various data sources to build a data model and perform advanced analysis using DAX.

Through this course, even beginners can master Power BI from the basics to intermediate level!

Repetitive pipeline management in Data Warehouses (DW), now free yourself from that painful cycle with dbt! Building on the efficiency provided by dbt, become a data analytics engineer who creates higher value through business-centric data modeling, effective data lifecycle management, and more.

This is a course for PMs who want to utilize data. It covers the entire process of using data in a PM role, capturing the full workflow from your first day at a new job to the beginning and end of a project. It is an introductory data course designed to build your thinking power, covering everything from data-driven and logical thinking to metric definition, log design, experiment design, and building a data culture. Although it was created for PMs, the content is also highly beneficial for data analysts (in fact, many analysts have already taken this course). Additionally, many professionals in marketing, design, and business planning roles are also taking the course.

Do you want to get a job as a data analyst? Based on my experience, let's take a look at the tasks for each data role in real companies.

Through this course, learners will be able to acquire the skills necessary to obtain a Computer Application Skills certification. This course is structured according to the examination standards for obtaining the Computer Application Skills certification. You can learn and apply fundamental knowledge of Computer Application Skills subjects to prepare for certification acquisition. (Computer Application Skills Level 1 & 2 Practical - Spreadsheet Practice)

You can learn how to use GA4 in practice by creating core reports for GA4 utilization. You will learn specific examples of which reports to create and how to create them for data analysis. For practical analysis, it also includes instructions on how to install and use Microsoft Clarity, a heatmap tool.

Statistics learned in school, was it too hard to understand? No matter how much you listened to the explanation, statistics were confusing, but we will help you understand them. If you implement them one by one by hand using Excel, you will understand statistical concepts that you didn't understand! A new experience that makes boring statistics fun! We will give you a gift. :)

Through this course, learners can develop the ability to obtain a Computer Application Skills certification. This course is structured according to the examination standards as a preparation course for acquiring the Computer Application Skills certification. You can learn and apply basic knowledge of Computer Application Skills subjects to prepare for certification acquisition. (Computer Application Skills Level 1 & 2 Written Exam - Spreadsheet General)

The most definitive way to build the backbone of your data No more fragmented knowledge. From DAsP (Data Architecture Semi-Professional) certification to practical modeling skills, this is the single most perfectly structured masterclass. "Are you still relying on piecemeal memorization for data modeling?" The ability of an 'architect' to translate complex business requirements into clear data structures is the most irreplaceable weapon in the IT ecosystem. This course goes beyond simply passing a certification; it provides practical insights to see through the enterprise-wide data flow.